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Data Scientist
  • Warsaw
Data Scientist
Warszawa, Warsaw, Masovian Voivodeship, Polska
XTB
24. 12. 2025
Informacje o stanowisku

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you. We are a certified Great Place to Work company.

About the Product & Technology Department

The Product & Technology Department consists of more than 500 experts. In our daily work, we focus on determination and ownership - we have a real impact on the development of our application, and the high expectations of our clients continuously motivate us to improve. Our ambition goes beyond building the app itself; we strive for continuous growth and excellence in everything we do. We strongly believe that the solutions we create represent the future of investing.

By setting the bar high, we can always rely on one another. We work in interdisciplinary teams, where knowledge sharing is a natural part of our culture. Within the department, we also organize workshops and guilds-meetings dedicated to specific domains or technologies to continuously develop our skills.

Responsibilities

  • Developing machine learning (ML)–based solutions to address business challenges

  • Working end-to-end on ML models: from conceptualization based on business requirements, through data preparation, model prototyping, building data pipelines with embedded models, to production deployment

  • Monitoring deployed models, analyzing their results, and implementing meaningful improvements

  • Prototyping features for a feature store that serves as a foundation for multiple models

What We Expect

  • Hands-on experience working with large datasets

  • Practical experience in building and deploying machine learning models

  • Solid understanding of machine learning techniques, particularly in regression and classification

  • Knowledge of the full ML lifecycle, including feature engineering, hyperparameter optimization, model evaluation, reproducibility, and monitoring

  • Practical proficiency in Python and its libraries (including pandas, numpy, scikit-learn, xgboost, lightgbm, matplotlib, seaborn, plotly)

  • Strong SQL skills

  • Ability to work independently while collaborating effectively within a team

  • A problem-solving mindset and a desire to make a real impact on product development

  • Strong communication skills and the ability to collaborate with both business and technical stakeholders

Nice to Have

  • Knowledge of Databricks and/or its components (Spark, MLflow, Asset Bundles)

  • Familiarity with dbt (data build tool)

  • Practical experience in building time series models

  • Experience working with cloud environments

  • Knowledge of financial instruments and markets

We Offer

  • Real impact on the development of the company and the product

  • Work in an experienced team that actively shares knowledge

  • A clear growth vision supported by regular feedback and transparent career paths

  • Equipment tailored to your needs

  • Remote work, work from our Warsaw office, or from a coworking space in your city

  • Regular team integration events

If you want to work with modern technologies, build solutions for large-scale data, and have a passion for automation and optimization—we encourage you to apply!

Benefits

  • Training budget for courses and conferences of your choice

  • An additional day off on your birthday

  • An additional day off for parents

  • Private medical care and group insurance

  • Access to an e-learning platform for learning English and a benefits platform

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


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